Senior Machine Learning Researcher

Reposted 21 Days Ago
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Athens
In-Office
3K-4K Annually
Senior level
Artificial Intelligence • Information Technology • Software
The Role
Design, develop, and deploy machine learning models to address business challenges, collaborating with teams to transform data-driven insights into algorithms.
Summary Generated by Built In

AI2C Technologies AG is a Swiss start-up (ETH Zurich spin-off) that has recently expanded its operations to Athens. At AI2C, we leverage advanced machine learning (ML) technologies to drive innovation in the DeepTech finance sector. Our projects focus on enhancing performance, precision, and scalability across our applications.

About the Role

We are looking for a highly skilled Senior Machine Learning Engineer to join our dynamic team. In this pivotal role, you will design, develop, and deploy machine learning models that address various business challenges. You will work closely with cross-functional teams to transform data-driven insights into innovative ML algorithms.

Key Responsibilities

  • Develop, implement, and optimize machine learning algorithms to meet business requirements.
  • Collaborate with data scientists and software engineers to integrate ML solutions into production systems.
  • Conduct experiments to evaluate the performance of machine learning models and refine models based on feedback and results.
  • Stay updated with advancements in ML and related technologies and propose new solutions.

RequirementsRequired Qualifications
  • PhD in a relevant field or 4+ years of industry experience in machine learning and data science.
  • Strong programming skills in Python
  • Solid understanding of supervised and unsupervised learning algorithms.
  • Strong knowledge of deep learning architectures, including convolutional networks, attention mechanisms, and transformers.
  • Proficient in ML frameworks and libraries (e.g., TensorFlow, Keras, PyTorch, JAX,  scikit-learn).
  • Experience with data preprocessing, feature selection, and model evaluation metrics.
  • Experience in integrating ML models into production environments.
  • Strong analytical and problem-solving skills.
  • Excellent English communication skills.
Bonus Qualifications
  • Experience in deep learning for time series data, ideally supported by relevant publications.
  • Background in DeepTech finance or related fields.

Benefits
  • Be part of an international company that is at the forefront of financial technology innovation.
  • Enjoy a very competitive compensation package including a bonus, based on transparent AI2C's profit sharing plan.
    • Competitive salary above market standards (2500-4000 EUR net)
    • Bonus based on transparent AI2C's profit sharing plan
  • Comprehensive private health insurance fully paid by the company.

Top Skills

Jax
Keras
Python
PyTorch
Scikit-Learn
TensorFlow
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The Company
HQ: Zug
12 Employees
Year Founded: 2021

What We Do

AI2C Technologies AG is a Swiss ETH Zurich spin-off with an international presence. Our founding team is comprised of scientists, engineers and business innovators that have pioneered advancements in computational science, artificial intelligence, fluid mechanics, nanotechnology, and business innovation.

AI2C is a category-defining leader in ‘Computational Thinking’.

'Human Thinking' is characterized by the ability to make decisions in real-time and learn from mistakes. As a result, we are focused on developing breakthrough technologies in the area of real-time continual learning (RT/CL) and automatic model recalibration, which are essential components of ‘Computational Thinking’.

Our revolutionary products power 'Computational Thinking' machines that work alongside humans, empowering them in their decision-making processes across a variety of domains.

Using computing innovation, scientific principles, advanced mathematics, algorithms, and multidisciplinary knowledge, AI2C's mission is to advance humankind one step closer to artificial general intelligence (AGI).

We strive for excellence by inspiring creation and tackling challenges that shape the future.

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